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Effective connectivity in the primary somatosensory network using combined EEG and MEG

Politof Konstantinos, Antonakakis Marios, Wollbrink Andreas, Zervakis Michail, Wolters Carsten Hermann

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Extent5 pagesen
TitleEffective connectivity in the primary somatosensory network using combined EEG and MEGen
CreatorPolitof Konstantinosen
CreatorΠολιτωφ Κωνσταντινοςel
CreatorAntonakakis Mariosen
CreatorΑντωνακακης Μαριοςel
CreatorWollbrink Andreasen
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorWolters Carsten Hermannen
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryThe primary somatosensory cortex remains one of the most investigated brain areas. However, there is still an absence of an integrated methodology to describe the early temporal alterations in the primary somatosensory network. Source analysis based on combined Electro-(EEG) and Magneto-(MEG) Encephalography (EMEG) has been recently shown to outperform the one's based on single modality EEG or MEG. The study and potential of combined EMEG form the goal of the current study, which investigates the time-variant connectivity of the primary somatosensory network. A subject-individualized pipeline combines a functional source separation approach with the effective connectivity analysis of different spatiotemporal source patterns using a realistic and skull-conductivity calibrated head model. Three-time windows are chosen for each modality EEG, MEG, and EMEG to highlight the thalamocortical and corticocortical interactions. The results show that EMEG is promising in suppressing a so-called connectivity 'leakage' effect when later components seem to influence earlier components, just due to too similar leadfields. Our current results support the notion that EMEG is superior in suppressing the spurious flows within a network of very rapid alterations.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Date of Item2020-04-10-
Date of Publication2019-
SubjectConnectivity Analysisen
SubjectFinite element modelingen
SubjectFunctional Source Separationen
SubjectPrimary somatosensory cortexen
SubjectSource Analysisen
Bibliographic CitationK. Politof, M. Antonakakis, A. Wollbrink, M. Zervakis and C.H. Wolters, "Effective connectivity in the primary somatosensory network using combined EEG and MEG," in 19th International Conference on Bioinformatics and Bioengineering, 2019, pp. 593-597. doi: 10.1109/BIBE.2019.00113en